{"doi":"10.3390/diagnostics11030569","title":"Identification of Brain Damage after Seizures Using an MR-Based Electrical Conductivity Imaging Method","abstract":"Previous imaging studies have shown the morphological malformation and the alterations of ionic mobility, water contents, electrical properties, or metabolites in seizure brains. Magnetic resonance electrical properties tomography (MREPT) is a recently developed technique for the measurement of electrical tissue properties with a high frequency that provides cellular information regardless of the cell membrane. In this study, we examined the possibility of MREPT as an applicable technique to detect seizure-induced functional changes in the brain of rats. Ultra-high field (9.4 T) magnetic resonance imaging (MRI) was performed, 2 h, 2 days, and 1 week after the injection of N-methyl-D-aspartate (NMDA; 75 mg/kg). The conductivity images were reconstructed from B1 phase images using a magnetic resonance conductivity imaging (MRCI) toolbox. The high-frequency conductivity was significantly decreased in the hippocampus among various brain regions of NMDA-treated rats. Nissl staining showed shrunken cell bodies and condensed cytoplasm potently at 2 h after NMDA treatment, and neuronal cell loss at all time points in the hippocampus. These results suggest that the reduced electrical conductivity may be associated with seizure-induced neuronal loss in the hippocampus. Magnetic resonance (MR)-based electrical conductivity imaging may be an applicable technique to non-invasively identify brain damage after a seizure.","journal":"Diagnostics","year":2021,"id":186122,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":3,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9522,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":744128,"name":"Bup Kyung Choi","orcid":null,"position":1,"is_corresponding":false},{"id":743396,"name":"Ji Ae Park","orcid":"0000-0001-6109-802X","position":2,"is_corresponding":false},{"id":743397,"name":"Hyung Joong Kim","orcid":"0000-0001-7591-9079","position":3,"is_corresponding":false},{"id":744129,"name":"Tong In Oh","orcid":null,"position":4,"is_corresponding":false},{"id":743398,"name":"Won Sub Kang","orcid":"0000-0003-0495-2861","position":5,"is_corresponding":false},{"id":743399,"name":"Jong-Woo Kim","orcid":"0000-0001-7004-3792","position":6,"is_corresponding":false},{"id":743400,"name":"Hae Jeong Park","orcid":"0000-0001-8567-3535","position":7,"is_corresponding":false},{"id":743395,"name":"Sang-A Kim","orcid":"0000-0001-5200-0078","position":0,"is_corresponding":true}],"reference_count":38,"raw_metadata":null,"created_at":"2026-07-18T23:48:42.632147Z","pmid":"33809992","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}